breathome and single lead electrocardiogram optimizes ischemic heart disease diagnosis

Conditions: Coronary Artery Disease; Ischemic Heart Disease

Summary: this is a prospective case-control single center observational non-randomized study. it is carried out to evaluate the diagnostic accuracy of functional tests with physical load under the control of a 12-lead ecg together with analysis of the parameters of volatile organic compounds of the exhaled breath, and single-lead ecg data.

the planned number of participants to include in the study is 80, admitted to the university clinical hospitals no. 1, at the i.m. sechenov first moscow state medical university of the ministry of health of the russian federation (sechenov university). the study includes the following stages: 1. participants will be selected according to inclusion and exclusion criteria; 2. work with medical documentation; 3. instrumental and laboratory examinations of the participants: 3.1. analysis of exhaled air will be carried out with the compact ptr-ms instrument manufactured by ionicon (austria) (analytical device), registration certificate no. (c16)07/c05. 3.2. cardio ankle vascular index (cavi) analysis will be conducted before the physical exertion, using the fukuda denshi apparatus (japan), a microphone for cardio-phonogram measurements fixed with double-sided tape over the sternum in the second intercostal space. 3.3. all the participants will undergo a single blood sampling, during the day of performing of the study, blood test: 10 ml from a peripheral vein to determine the level of total cholesterol, low-density lipoprotein (ldl), very low-density lipoprotein (vldl), high-density lipoprotein (hdl), triglycerides, c-reactive protein (crp), lipoprotein a, apolipoprotein b, interleukin-6 (il-6), interleukin-3 (il-3 ). 3.5. both groups will perform a bicycle ergometry (on schiller device) test to evaluate the response to physical activity. 3.6. before and immediately after the exercise test, all patients are scheduled to record a single-lead ecg and pulse wave, using a portable single-lead recorder (cardio-qvark) (russia, moscow). 4.6. computed tomography myocardial perfusion imaging on a ct with 640 slices (canon) during stress with adenosine triphosphate will be performed. after completion of the instrumental and laboratory analysis, a statistical analysis will be conducted using classical statistics and artificial intelligence as well as machine learning models.

Eligibility criteria:
inclusion criteria: 1. participants age ≥ 40 years. 2. patients with intact mental and physical activity. 3. written consent to participate in the study, take blood tests, and anonymously publish the results of the study. 4. the participants of the control group are individuals without coronary artery disease, confirmed by the absence of the myocardial perfusion defect on the adenosine triphosphate stress myocardial perfusion computed tomography, and confirmed by medical history, previous medical tests, and retrospective interview of participants, and they will mainly be athletes. 5. the participants of the experimental group are individuals with coronary artery disease, confirmed by myocardial perfusion defect on the adenosine triphosphate stress myocardial perfusion computed tomography, and confirmed by medical history, previous medical tests, and retrospective interview of participants. non-inclusion criteria: 1. pregnancy and breast feeding. 2. presence of signs of acute coronary syndrome (myocardial infarction in the last two days), history of myocardial infarction; 3. active infectious and non-infectious inflammatory diseases in the exacerbation phase; 4. respiratory diseases (bronchial asthma, chronic bronchitis, cystic fibrosis); 5. acute thromboembolism of pulmonary artery branches; 6. aortic dissection; 7. critical heart defects; 8. active oncopathology; 9. decompensation phase of acute heart failure or heart failure iii-iv stage; 10. neurological pathology (parkinson's disease, multiple sclerosis, acute psychosis, guillain-barré syndrome); 11. cardiac arrhythmias that do not allow exercise ecg testing (wolff-parkinson-white syndrome, sick sinus syndrome, av block of ii-iii-degree, persistent ventricular tachycardia); 12. diseases of the musculoskeletal system that prevent passing a stress test (bicycle ergometry); 13. allergic reaction to iodine. 14. diabetes mellitus exclusion criteria: 1. poor single-lead ecg and pulse wave recording quality 2. failure of the stress test stop criterion 3. reluctance to continue participating in the study.

Keywords: coronary artery disease mass spectrometry volatilome single lead-ecg ischemic heart disease lipidome inflammasome electrocardiography proton transfer reaction-time of flight- mass spectrometer-1000 (ptr-tof-ms-1000) stress induced myocardial perfusion defect qardio-qvark stable coronary artery disease angina pectoris atherosclerosis breathome volatile organic compound bicycle ergometry prevention score2 score2-op smart risk score machine learning model artificial intelligence cardiovascular disease risk factor